Day 2: Programming, typesetting, and tidyverse

This session will be held in JRR 399.

Base R (AM) slides here.

Quarto (PM) slides here.

Tidyverse (PM) slides here.

Functions

• Writing and calling functions
• Arguments, defaults, and return values

References

• r4ds, Ch. 25: Functions
• Prefresher, Ch. 9: Objects, functions, loops

Loops, iteration, and lapply()

• for and while loops
• lapply() and friends
• Guided exercise

References

• Prefresher, Ch. 9.3: Loops
• r4ds, Ch. 26: Iteration

Quarto and typesetting

• Making work replicable and research-ready
• Migrating the morning exercise into Quarto
• How R Markdown fits in

References

• r4ds, Ch. 28: Quarto
• Prefresher, Ch. 13: LaTeX and markdown

Tidyverse

• tibble
• dplyr, from mutate() through merges
• purrr
• Gesturing at stringr, lubridate, and tidyr

References

• r4ds, Ch. 3: Data transformation
• r4ds, Ch. 19: Joins

Code for exercises:

library(tidyverse)

counties <- read_csv(
  'https://princeton-ddss.github.io/r-bootcamp/files/county_data.csv'
)

county_pop <- read_csv(
  'https://princeton-ddss.github.io/r-bootcamp/files/county_population.csv'
)